integrations/tensorflow/e2e/linspace_test.py

# Copyright 2020 The IREE Authors
#
# Licensed under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception

from absl import app
from iree.tf.support import tf_test_utils
import numpy as np
import tensorflow.compat.v2 as tf


class LinspaceModule(tf.Module):

  def __init__(self):
    pass

  @tf.function(input_signature=[
      tf.TensorSpec([], tf.float32),
      tf.TensorSpec([], tf.float32)
  ])
  def linspace(self, start, stop):
    # 'num' is const because XLA's iota operation does not support dynamic
    # shapes.
    num = np.array(3, dtype=np.int32)
    return tf.linspace(start, stop, num)


class LinspaceTest(tf_test_utils.TracedModuleTestCase):

  def __init__(self, *args, **kwargs):
    super().__init__(*args, **kwargs)
    self._modules = tf_test_utils.compile_tf_module(LinspaceModule)

  def test_linspace(self):

    def linspace(module):
      start = np.array(10., dtype=np.float32)
      stop = np.array(12., dtype=np.float32)
      module.linspace(start, stop)

    self.compare_backends(linspace, self._modules)


def main(argv):
  del argv  # Unused
  if hasattr(tf, 'enable_v2_behavior'):
    tf.enable_v2_behavior()
  tf.test.main()


if __name__ == '__main__':
  app.run(main)